{"id":"W4402147587","doi":"10.3899/jrheum.2024-0335","title":"Performance of the 2022 ACR/EULAR Classification Criteria in Comparison With the European Medicines Agency Algorithm in Antineutrophil Cytoplasmic Antibody–Associated Vasculitis","year":2024,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Vasculitis; Anti-neutrophil cytoplasmic antibody; Antibody; Algorithm; Systemic vasculitis; Internal medicine; Immunology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01213041,0.0008601114,0.001050713,0.002544188,0.0004461409,0.002093803,0.00083388,0.001054202,0.0009986454],"category_scores_gemma":[0.02269487,0.000250659,0.0007796606,0.001413247,0.0003742831,0.00167096,0.001076462,0.0004653215,0.0008003867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005306329,"about_ca_system_score_gemma":0.0006699555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443873,"about_ca_topic_score_gemma":0.001997143,"domain_scores_codex":[0.9854952,0.007695775,0.001939989,0.001511789,0.002429028,0.000928269],"domain_scores_gemma":[0.9845184,0.004778388,0.005011437,0.0008977744,0.003920685,0.0008733098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001816556,0.0001130955,0.9796739,0.0000928625,0.0003186183,0.000101671,0.00009683424,0.0009577461,0.0004554185,0.00009788445,0.0008763421,0.01539912],"study_design_scores_gemma":[0.0002053678,0.0008021832,0.9812986,0.0000961822,0.0002120597,0.001063922,0.0002294969,0.0129106,0.0005666771,0.0002021652,0.002372147,0.00004057448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878954,0.003764486,0.001913404,0.0002287329,0.0001806805,0.0001310937,0.0006343505,0.00004179522,0.005210081],"genre_scores_gemma":[0.9960456,0.0002296562,0.001894079,0.00009117818,0.00008136249,0.00006121447,0.001354926,0.00001330752,0.0002285152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01213041,"threshold_uncertainty_score":0.06415248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239594290913476,"score_gpt":0.2763008090954562,"score_spread":0.2639048661863215,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}